GlucoGuide

Lets user choose either to enter glucose level or go with carbs counter
Dashboard for carbs convert and glucose convert
Login Page
Sign up page
Terminal Agent for GlucoChat

Inspiration

We noticed that many of the apps designed for people with diabetes have limited features, simply tracking blood glucose levels and not actually helping them deal with their condition. Therefore, we created something that provides suggestions for people with Type II Diabetes in important categories: diet, exercise, monitoring, emergency. Alongside this, it can count carbs that they have eaten.

What it does

Intelligent AI agent for Type II Diabetes that is able to provide recommendations for diet, exercise, monitoring, emergency, and lifestyle. It is able to provide useful information for the user to make smart and healthy decisions in order to manage their conditions.

Lets users log glucose levels (before or after meals).
Provides actionable recommendations (e.g., what to eat if blood sugar is low/high) in GlucoChat
Includes a Carb Counter where users can enter food + portion size to see estimated carbs and sugar content. -Suggests healthier alternatives if a food might spike blood sugar used through Fetch.AI agent

How we built it

Frontend: HTML + CSS for a responsive and simple UI.
Backend: Flask to handle glucose analysis and food recommendations.
Integration: Fetch.ai agent for alternative food suggestions and chatbot-style support.
Design: CSS for clean, purple-themed branding with a focus on accessibility, Figma for pre-planning

Challenges we ran into

Converting glucose thresholds from medical guidelines into user-friendly advice.
Making the UI simple but informative, balancing medical accuracy with clarity.
Limited time to integrate real nutrition APIs and AI fully.

Accomplishments that we're proud of

Built a full-stack pipeline in a short timeframe.
Designed a clean, intuitive UI that feels approachable for non-technical users.
Created a foundation for an app that could genuinely help people manage diabetes better.

What we learned How to connect Flask through REST endpoints.
The importance of UI/UX clarity in health-related apps.
How AI agents like Fetch.ai could fit into healthcare workflows.
Teamwork under time pressure, breaking tasks into frontend/backend/design helped us move fast.

What's next for GlucoGuide

Adding chatbot support to answer questions in natural language.
Building a personalized insights dashboard to show trends over time.
Deploying the project so it can be used by real people outside of the hackathon.